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Pfaffian

Pfaffian is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Pfaffian rather than just read about it. In short: In mathematics, the determinant of an m-by-m skew-symmetric matrix can always be written as the square of a polynomial in the matrix entries, a polynomial with integer coefficients that only depends on m. When m is odd, the polynomial is zero, and when m is even, it is a nonzero polynomial of degree m/2, and is unique up to multiplication by ±1.

Pfaffian — main illustration
Pfaffian — illustration

Key takeaways

  • Pfaffian belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Pfaffian to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Pfaffian from memory before moving on to harder problems.

Reference excerpt

In mathematics, the determinant of an m-by-m skew-symmetric matrix can always be written as the square of a polynomial in the matrix entries, a polynomial with integer coefficients that only depends on m. When m is odd, the polynomial is zero, and when m is even, it is a nonzero polynomial of degree m/2, and is unique up to multiplication by ±1. The convention on skew-symmetric tridiagonal matrices, given below in the examples, then determines one specific polynomial, called the Pfaffian polynomial. The value of this polynomial, when applied to the entries of a skew-symmetric matrix, is called the Pfaffian of that matrix. The term Pfaffian was introduced by Cayley (1852), who indirectly named them after Johann Friedrich Pfaff. Explicitly, for a skew-symmetric matrix A {\displaystyle A} ,

pf ⁡ ( A ) 2 = det ( A ) , {\displaystyle \operatorname {pf} (A)^{2}=\det(A),}

which was first proved by Cayley (1849), who cites Jacobi for introducing these polynomials in work on Pfaffian systems of differential equations. Cayley obtains this relation by specialising a more general result on matrices that deviate from skew symmetry only in the first row and the first column. The determinant of such a matrix is the product of the Pfaffians of the two matrices obtained by first setting in the original matrix the upper left entry to zero and then copying, respectively, the negative transpose of the first row to the first column and the negative transpose of the first column to the first row. This is proved by induction by expanding the determinant on minors and employing the recursion formula below.

Examples

A = [ 0 a − a 0 ] , pf ⁡ ( A ) = a . {\displaystyle A={\begin{bmatrix}0&a\\-a&0\end{bmatrix}},\qquad \operatorname {pf} (A)=a.}

B = [ 0 a b − a 0 c − b − c 0 ] , pf ⁡ ( B ) = 0. {\displaystyle B={\begin{bmatrix}0&a&b\\-a&0&c\\-b&-c&0\end{bmatrix}},\qquad \operatorname {pf} (B)=0.}

(3 is odd, so the Pfaffian of B is 0)

pf ⁡ [ 0 a b c − a 0 d e − b − d 0 f − c − e − f 0 ] = a f − b e + d c . {\displaystyle \operatorname {pf} {\begin{bmatrix}0&a&b&c\\-a&0&d&e\\-b&-d&0&f\\-c&-e&-f&0\end{bmatrix}}=af-be+dc.}

The Pfaffian of a 2n × 2n skew-symmetric tridiagonal matrix is equal to

… excerpt ends here. Continue reading the full article.

Illustrations

Pfaffian: Johann Friedrich Pfaff
Johann Friedrich Pfaff

Worked examples

Example 1 — a first encounter with Pfaffian

Start with the simplest possible case. Write down what Pfaffian claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Pfaffian before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Pfaffian ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Pfaffian

In research
Pfaffian appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Pfaffian in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Pfaffian is common in secondary-school and first-year university syllabi. It links to neighbouring topics Determinants, Multilinear algebra, so understanding it makes those chapters shorter.
In everyday life
Look for Pfaffian outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Pfaffian in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Pfaffian means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Pfaffian out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Pfaffian in simple terms?

In mathematics, the determinant of an m-by-m skew-symmetric matrix can always be written as the square of a polynomial in the matrix entries, a polynomial with integer coefficients that only depends on m. When m is odd, the polynomial is zero, and when m is even, it is a nonzero polynomial of degre…

Why does Pfaffian matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Pfaffian?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Pfaffian.

Tags

  • Determinants
  • Multilinear algebra

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